| 基于奇异谱熵的神经元峰电位分类技术研究 |
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| 引用本文： | 钟华,范影乐,杨勇,杨文伟,李轶.基于奇异谱熵的神经元峰电位分类技术研究[J].航天医学与医学工程,2011,24(1):65-70. |
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| 作者姓名： | 钟华 范影乐 杨勇 杨文伟 李轶 |
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| 作者单位： | 1. 杭州电子科技大学自动化学院,浙江杭州,310018
2. 杭州电子科技大学生物医学工程与仪器研究所,浙江杭州,310018 |
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| 基金项目： | 国家自然科学基金资助项目(30770685); 浙江省新苗人才计划项目(2009G60G2040018) |
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| 摘 要： | 目的:实现神经元峰电位(spike)的准确检测和分类,为神经信号的后续分析和解码提供前提条件.方法:采用改进的阈值法,从植入式多电极阵列采集的含噪神经电信号中检测出有效的峰电位;并提出利用奇异谱熵,来描述在奇异值分解下峰电位特征;通过Kolmogorov-Smirnov检验降低特征维数,采用交互式方式挑选聚类性能较佳的...
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| 关 键 词： | 峰电位分类 奇异谱熵 Kolmogorov-Smirnov检验 |
Classification Technique of Neuronal Spikes Based on Singular Spectrum Entropy |
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| ZHONG Hua,FAN Ying-le,YANG Yong,YANG Wen-wei,LI Yi.Classification Technique of Neuronal Spikes Based on Singular Spectrum Entropy[J].Space Medicine & Medical Engineering,2011,24(1):65-70. |
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| Authors: | ZHONG Hua FAN Ying-le YANG Yong YANG Wen-wei LI Yi |
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| Institution: | ZHONG Hua,FAN Ying-le,YANG Yong,YANG Wen-wei,LI Yi.(School of Automation,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | Objective To realize the accurate detection and classification of neuronal spikes,as well as provide the premise for further analyzing and decoding neural signals.Methods An improved threshold method was adopted to find out effective spikes of neuronal action potentials from the noisy electroneurographic signals,which were collected with the implanted multi-electrode array.Then based on the singular value decomposition(SVD),the features of original spikes were characterized with singular spectrum entropy(SS... |
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| Keywords: | classification of neuronal spikes singular spectrum entropy Kolmogorov-Smirnov test |
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